On-line least squares support vector machine algorithm in gas prediction

Mining Science and Technology

Volumn 19, Issue 2, 2009, Pages 194-198

  ZHAO, Xiao hu ^a   WANG, Gang ^a   ZHAO, Ke ke ^a   TAN, De jian ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

gas; LS SVM; on line learning; prediction

Indexed keywords

BASIC THEORY; COAL MINE SAFETY; DYNAMIC PREDICTION; IMPROVED ALGORITHM; LEAST SQUARES SUPPORT VECTOR MACHINES; LS-SVM; MACHINE LEARNING ALGORITHMS; OBSERVED DATA; ON-LINE ALGORITHMS; ON-LINE LEARNING; ONLINE PREDICTION; PREDICTION; PREDICTION PROBLEM; SAFETY PREDICTION; SIMULATION RESULT; SVM ALGORITHM; TIME FACTORS;

COAL MINES; GAS EMISSIONS; IMAGE RETRIEVAL; LEAKAGE (FLUID); MINING; SAFETY FACTOR; SUPPORT VECTOR MACHINES;

LEARNING ALGORITHMS;

EID: 70350341459     PISSN: 16745264     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1674-5264(09)60037-5     Document Type: Article

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